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--- |
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license: openrail |
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datasets: |
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- the_pile_openwebtext2 |
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- semeru/code-code-CodeCompletion-TokenLevel-Python |
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- pacovaldez/stackoverflow-questions |
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- AhmedSSoliman/CodeSearchNet-py |
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- irds/codesearchnet |
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- bigscience-catalogue-data-dev/lm_code_github-eval_subset |
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- codeparrot/github-code |
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- nchen909/bigclonebench-processed |
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- Open-Orca/OpenOrca |
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- fka/awesome-chatgpt-prompts |
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- openchat/openchat_sharegpt4_dataset |
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- bookcorpus |
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- bookcorpusopen |
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- nRuaif/OpenOrca-GPT3.5 |
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- irds/codesearchnet |
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- giganticode/java-cmpx-v1 |
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- nickrosh/Evol-Instruct-Code-80k-v1 |
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- bigcode/starcoderdata |
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- bigcode/the-stack |
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- bigcode/the-stack-smol |
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- Cdaprod/AI-Developer-Prompts |
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- code_x_glue_ct_code_to_text |
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- codeparrot/github-code |
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- codeparrot/github-code-clean |
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- code_x_glue_cc_code_completion_line |
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- >- |
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autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558893 |
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- bentrevett/multi30k |
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- edbeeching/decision_transformer_gym_replay |
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- psyche/common_crawl |
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- Birchlabs/openai-prm800k-solutions-only |
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- openchat/openchat_sharegpt4_dataset |
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- Open-Orca/OpenOrca |
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- cjvt/slownet |
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- para_crawl |
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- zeroshot/twitter-financial-news-sentiment |
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- laugustyniak/political-advertising-pl |
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- code_search_net |
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- sukaka/novelai-webui |
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- P1ayer-1/chatgpt-conversations-chatlogs.net |
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- daniel2588/sarcasm |
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- psmathur/orca_minis_uncensored_dataset |
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- player1537/Bloom-560m-trained-on-Wizard-Vicuna-Uncensored-trained-on-Based |
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- shahules786/prosocial-nsfw-reddit |
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- Thewillonline/reddit-sarcasm |
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- datasciencemmw/current-data |
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- Oniichat/bluemoon_roleplay_chat_data_300k_messages |
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- dell-research-harvard/AmericanStories |
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- b-mc2/sql-create-context |
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- rahulmallah/autotrain-data-emotion-detection |
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- theblackcat102/multiround-programming-convo |
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- Lsavints/software_knowledgebase |
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- RazinAleks/SO-Python_QA-Web_Development_class |
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- codeparrot/apps |
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- vlsp-2023-vllm/en-to-vi-formal-informal-tranlations |
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- fraug-library/english_contractions_extensions |
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- spencer/software_slacks |
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- Abirate/english_quotes |
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- Nexdata/American_English_Natural_Dialogue_Speech_Data |
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- Nexdata/Latin_American_Speaking_English_Speech_Data_by_Mobile_Phone |
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- Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading |
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- Nexdata/American_English_Speech_Synthesis_Corpus-Female |
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- rombodawg/LimitlessCodeTraining |
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- RikoteMaster/Emotion_Recognition_4_llama2 |
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- Villian7/Emotions_Data |
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- alanland/llama2-self-cognition |
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- CognitiveScience/coscidata |
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- bibidentuhanoi/gideon_self_cognition |
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- gollark/consciousness |
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- juletxara/visual-spatial-reasoning |
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- lintang/numerical_reasoning_arithmetic |
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- reasoning-machines/gsm-hard |
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- open-source-metrics/reinforcement-learning-checkpoint-downloads |
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- igbo_english_machine_translation |
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- US-Artificial-Intelligence/algemap |
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- rombodawg/2XUNCENSORED_alpaca_840k_Evol_USER_ASSIS |
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- griffin/chain_of_density |
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- >- |
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shirsh10mall/LLM_Instruct_Learning_Project_Preprocessed_Tokenized_Open_Orca_Dataset_Flan_T5 |
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- Thaweewat/chain-of-thought-74k-th |
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- AlekseyKorshuk/chain-of-thoughts-chatml-deduplicated |
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- dair-ai/emotion |
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- hita/social-behavior-emotions |
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- Bingsu/Human_Action_Recognition |
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- anjandash/java-8m-methods-v1 |
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- nadiamaqbool81/java_code_instructions_1.178k_alpaca |
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- DavidMOBrien/8000-java |
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- rombodawg/LimitlessCodeTraining_1k-Python-Javascript_GuanacoFormat |
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- angie-chen55/javascript-github-code |
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- kye/all-lucidrain-python-3 |
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- Fraser/python-state-changes |
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- ammarnasr/the-stack-ruby-clean |
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- ammarnasr/the-stack-rust-clean |
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- seyyedaliayati/solidity-dataset |
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- jkhedri/psychology-dataset |
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- KonradSzafer/stackoverflow_linux |
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- vikp/textbook_quality_programming |
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- rombodawg/LosslessMegaCodeTrainingV3_MINI |
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- BelleGroup/multiturn_chat_0.8M |
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- smangrul/code-chat-assistant-v1 |
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- goendalf666/sales-textbook_for_convincing_and_selling |
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- readerbench/ConversationalAgent-Ro |
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- beurkinger/autotrain-data-human-action-recognition |
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- jpwahle/autoencoder-paraphrase-dataset |
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- jpwahle/autoregressive-paraphrase-dataset |
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- teknium/GPT4-LLM-Cleaned |
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- Anthropic/model-written-evals |
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- openai_humaneval |
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- kye/all-google-ai-python-code |
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- kye/all-openai-github-code |
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- EleutherAI/lambada_openai |
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- CShorten/ML-ArXiv-Papers |
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- WaltonFuture/InstructionGPT-4 |
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- open-llm-leaderboard/details_AIDC-ai-business__Marcoroni-70B |
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- seansullivan/INT-Business-Syllabus |
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- theoldmandthesea/17k_business_book |
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- SunRise228/business-doc |
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- gauravshrm211/VC-startup-evaluation-for-investment |
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- TuningAI/Startups_V1 |
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- TuningAI/Startups_V2 |
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- AdiOO7/llama-2-finance |
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- scillm/scientific_papers |
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- gokuls/wiki_book_corpus_complete_processed_bert_dataset |
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- the_pile_books3 |
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- go_emotions |
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- yizhongw/self_instruct |
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- codeparrot/self-instruct-starcoder |
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- Amani27/massive_translation_dataset |
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- huggingface/transformers-metadata |
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- hf-internal-testing/transformers-metadata |
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- commonsense_qa |
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- nlplabtdtu/test-edu-crawl |
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- kernelmachine/open-license-corpus |
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- BDas/EnglishNLPDataset |
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- CyberNative/github_cybersecurity_READMEs |
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- thomwolf/github-python |
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- CM/codexglue_code2text_java |
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- autoevaluate/autoeval-staging-eval-project-glue-f16e6c43-14015917 |
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- lemonteaa/algorithmic-reasoning-seed |
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- EmpathyFirstMedia/algolia |
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- vicgalle/alpaca-gpt4 |
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- pariajm/sharif_emotional_speech_dataset |
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- lighteval/synthetic_reasoning_natural |
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- jxu124/llava_complex_reasoning_77k |
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- bibidentuhanoi/gideon_self_cognition_text |
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- ohilikeit/empathetic_dialogues_mutli_turn_ko |
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- KevinZ/psycholinguistic_eval |
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- fiveflow/psychology-dataset |
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- shahidul034/text_generation_model_data |
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- qwedsacf/story-generation |
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- EnigmaOfTheWorld/b-mc2-sql-create-context |
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- HuggingFaceH4/testing_self_instruct_small |
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- RUCAIBox/Data-to-text-Generation |
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- Fhrozen/AudioSet2K22 |
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- Chr0my/Epidemic_sounds |
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- ChristophSchuhmann/lyrics-index |
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- Cropinky/rap_lyrics_english |
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- tsterbak/eurovision-lyrics-1956-2023 |
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- brunokreiner/genius-lyrics |
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- google/MusicCaps |
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- ccmusic-database/music_genre |
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- Hyeon2/riffusion-musiccaps-dataset |
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- SamAct/autotrain-data-musicprompt |
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- Chr0my/Epidemic_music |
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- juliensimon/autonlp-data-song-lyrics |
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- Datatang/North_American_English_Speech_Data_by_Mobile_Phone_and_PC |
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- Chr0my/freesound.org |
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- teticio/audio-diffusion-256 |
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- KELONMYOSA/dusha_emotion_audio |
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- Ar4ikov/iemocap_audio_text_splitted |
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- flexthink/ljspeech |
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- mozilla-foundation/common_voice_13_0 |
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- facebook/voxpopuli |
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- SocialGrep/one-million-reddit-jokes |
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- breadlicker45/human-midi-rlhf |
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- breadlicker45/midi-gpt-music-small |
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- projectlosangeles/Los-Angeles-MIDI-Dataset |
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- huggingartists/epic-rap-battles-of-history |
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- SocialGrep/one-million-reddit-confessions |
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- shahules786/prosocial-nsfw-reddit |
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- Thewillonline/reddit-sarcasm |
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- autoevaluate/autoeval-eval-futin__guess-vi-4200fb-2012366606 |
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- lmsys/chatbot_arena_conversations |
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- mozilla-foundation/common_voice_11_0 |
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- mozilla-foundation/common_voice_4_0 |
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- dell-research-harvard/AmericanStories |
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- zZWipeoutZz/insane_style |
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- mu-llama/MusicQA |
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- RaphaelOlivier/whisper_adversarial_examples |
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- huggingartists/metallica |
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- vldsavelyev/guitar_tab |
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- NLPCoreTeam/humaneval_ru |
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- seungheondoh/audioset-music |
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- gary109/onset-singing3_corpora_parliament_processed_MIR-ST500 |
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- LDD5522/Rock_Vocals |
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- huggingartists/rage-against-the-machine |
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- huggingartists/chester-bennington |
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- huggingartists/logic |
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- cmsolson75/artist_song_lyric_dataset |
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- BhavyaMuni/artist-lyrics |
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- vjain/emotional_intelligence |
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- mhenrichsen/context-aware-splits |
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language: |
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- en |
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- es |
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- it |
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- ru |
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- la |
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metrics: |
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- accuracy |
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- bertscore |
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- code_eval |
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- f1 |
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- bleu |
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- perplexity |
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- mean_iou |
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- hyperml/balanced_accuracy |
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tags: |
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- code |
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- music |
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library_name: transformers |
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--- |
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# Model Card for Model ID |
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
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## Model Details |
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### Model Description |
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- **Developed by:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **License:** [More Information Needed] |
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### Model Sources [optional] |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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### Direct Use |
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[More Information Needed] |
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### Downstream Use [optional] |
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### Out-of-Scope Use |
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## Bias, Risks, and Limitations |
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[More Information Needed] |
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### Recommendations |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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## Training Details |
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### Training Data |
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[More Information Needed] |
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### Training Procedure |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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[More Information Needed] |
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## Evaluation |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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[More Information Needed] |
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#### Factors |
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[More Information Needed] |
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#### Metrics |
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### Results |
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#### Summary |
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## Model Examination [optional] |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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#### Hardware |
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#### Software |
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## Citation [optional] |
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**BibTeX:** |
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## More Information [optional] |
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